Results 51 to 60 of about 267,481 (220)

Estimating Uncertainty in Multimodal Foundation Models using Public Internet Data [PDF]

arXiv, 2023
Foundation models are trained on vast amounts of data at scale using self-supervised learning, enabling adaptation to a wide range of downstream tasks. At test time, these models exhibit zero-shot capabilities through which they can classify previously unseen (user-specified) categories.
arxiv  

Improving educational web search for question-like queries through subject classification

Information Processing & Management, 2019
Abstract Students use general web search engines as their primary source of research while trying to find answers to school-related questions. Although search engines are highly relevant for the general population, they may return results that are out of educational context.
Tolga Yilmaz, Rifat Ozcan, Ismail Sengor Altingovde, Özgür Ulusoy   +3 more
openaire   +4 more sources

A Transfer Learning Pipeline for Educational Resource Discovery with Application in Leading Paragraph Generation [PDF]

arXiv, 2022
Effective human learning depends on a wide selection of educational materials that align with the learner's current understanding of the topic. While the Internet has revolutionized human learning or education, a substantial resource accessibility barrier still exists.
arxiv  

Using Query Reformulation to Compare Learning Behaviors in Web Search Engines

International Conference on Advanced Learning Technologies, 2019
Web search engines have gained importance as tools capable of connecting informal and self-learning with formal learning by aiding individuals in retrieving relevant information through the formulation and modification of their queries.
Marcelo Tibau, S. Siqueira, B. Nunes, Terhi Nurmikko-Fuller, R. Manrique   +4 more
semanticscholar   +1 more source

MannDB – A microbial database of automated protein sequence analyses and evidence integration for protein characterization

BMC Bioinformatics, 2006
Background MannDB was created to meet a need for rapid, comprehensive automated protein sequence analyses to support selection of proteins suitable as targets for driving the development of reagents for pathogen or protein toxin detection.
Kuczmarski Thomas A, Dyer Matthew D, Zemla Adam T, Smith Jason R, Lam Marisa W, Zhou Carol, Vitalis Elizabeth A, Slezak Thomas R   +7 more
doaj   +1 more source

PSPP: a protein structure prediction pipeline for computing clusters. [PDF]

PLoS ONE, 2009
BACKGROUND:Protein structures are critical for understanding the mechanisms of biological systems and, subsequently, for drug and vaccine design. Unfortunately, protein sequence data exceed structural data by a factor of more than 200 to 1.
Michael S Lee, Rajkumar Bondugula, Valmik Desai, Nela Zavaljevski, In-Chul Yeh, Anders Wallqvist, Jaques Reifman   +6 more
doaj   +1 more source

Analyzing URL queries [PDF]

Journal of the American Society for Information Science and Technology, 2010
AbstractThis study investigated a relatively unexamined query type, queries composed of URLs. The extent, variation, and user click‐through behavior was examined to determine the intent behind URL queries. The study made use of a search log from which URL queries were identified and selected for both qualitative and quantitative analyses.
Robert P. Hawkins, Michelle M. Kazmer, Sarah Redmond, Ebrahim Randeree, Casey McLaughlin, Mia Liza A. Lustria, Ivee B. Rosario, Robert L. Glueckauf   +7 more
openaire   +36 more sources

iTools: a framework for classification, categorization and integration of computational biology resources. [PDF]

PLoS ONE, 2008
The advancement of the computational biology field hinges on progress in three fundamental directions--the development of new computational algorithms, the availability of informatics resource management infrastructures and the capability of tools to ...
Ivo D Dinov, Daniel Rubin, William Lorensen, Jonathan Dugan, Jeff Ma, Shawn Murphy, Beth Kirschner, William Bug, Michael Sherman, Aris Floratos, David Kennedy, H V Jagadish, Jeanette Schmidt, Brian Athey, Andrea Califano, Mark Musen, Russ Altman, Ron Kikinis, Isaac Kohane, Scott Delp, D Stott Parker, Arthur W Toga   +21 more
doaj   +1 more source

Training Convolutional Networks with Web Images [PDF]

arXiv, 2018
In this thesis we investigate the effect of using web images to build a large scale database to be used along a deep learning method for a classification task. We replicate the ImageNet large scale database (ILSVRC-2012) from images collected from the web using 4 different download strategies varying: the search engine, the query and the image ...
arxiv  

Search4Code: Code Search Intent Classification Using Weak Supervision [PDF]

arXiv, 2020
Developers use search for various tasks such as finding code, documentation, debugging information, etc. In particular, web search is heavily used by developers for finding code examples and snippets during the coding process. Recently, natural language based code search has been an active area of research.
arxiv